Neck circumference in relation to glycemic parameters: a systematic review and meta-analysis of observational studies

(2019) Neck circumference in relation to glycemic parameters: a systematic review and meta-analysis of observational studies. Diabetology & Metabolic Syndrome. p. 16.

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Official URL: WOS:000472908200001

Abstract

BackgroundRecent studies have suggested that neck circumference (NC) is a supplemental screening measure for diagnosing metabolic complications and might be associated with glycemic parameters. The aim of the present study was to to evaluate the association between NC and glycemic parameters.MethodsWe systematically searched the electronic databases (including MEDLINE, Scopus, EMBASE, and Google scholar) up to April 2018. Observational studies that reported correlation coefficient between NC and glycemic parameters were included in the analysis. A random effects model was used to estimate overall Fisher's Z and 95 confidence interval of glycemic parameters including fasting plasma glucose (FBG), serum fasting insulin level, homeostasis model assessment-estimated insulin resistance (HOMA-IR) and glycated hemoglobin (HbA1c).ResultsA total of 21 studies (44,031 participants) were eligible for including in the systematic review and meta-analysis. Significant correlations were found between NC and FBG (Fisher's Z=0.18; 95 CI 0.16, 0.21), serum fasting insulin level (Fisher's Z=0.34; 95 CI 0.26, 0.41), HOMA-IR (Fisher's Z=0.36; 95 CI 0.29, 0.43) and HbA1c (Fisher's Z=0.14; 95 CI 0.09, 0.20). Meta-regression analysis showed that NC were marginally associated with FBG in a linear manner (=0.008, P=0.09); but not related to serum fasting insulin level, HOMA-IR, and HbA1c.ConclusionsThis meta-analysis of cross-sectional studies showed that NC was positively correlated with glycemic parameters including FBG, serum fasting insulin level, HOMA-IR, and HbA1c. Further investigations with prospective design are required to confirm these findings.

Item Type: Article
Keywords: Neck circumference Fasting plasma glucose Insulin levels Insulin resistance Glycated hemoglobin fatty-acid-metabolism insulin-resistance cardiometabolic risk cardiovascular risk central obesity adipose-tissue valuable tool predictor association overweight Endocrinology & Metabolism
Subjects: QU Biochemistry. Cell Biology and Genetics > QU 145-220 Nutrition. Vitamins
Divisions: Food Security Research Center
School of Nutrition and Food Sciences > Department of Clinical Nutrition
School of Nutrition and Food Sciences > Department of Community Nutrition
School of Nutrition and Food Sciences > Student Research Committee
Page Range: p. 16
Journal or Publication Title: Diabetology & Metabolic Syndrome
Journal Index: ISI
Volume: 11
Identification Number: https://doi.org/10.1186/s13098-019-0445-7
Depositing User: Zahra Otroj
URI: http://eprints.mui.ac.ir/id/eprint/11395

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